Evidence map›Paper›PMID 26842578›Full record

ArticleRapid communications in mass spectrometry : RCM2016

Targeted absolute quantitative proteomics with SILAC internal standards and unlabeled full-length protein calibrators (TAQSI).

Xinwen Wang, Yan Liang, Li Liu, Jian Shi, Hao-Jie Zhu

Open access · bronzeAbstract read
In one paragraph

Article in Rapid communications in mass spectrometry : RCM, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.4field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Activity and Expression of Carboxylesterases and Arylacetamide Deacetylase in Human Ocular Tissues.Drug metabolism and disposition: the biological fate of chemicals · 2022
    Article
  3. Review
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  8. Carboxylesterase 1 and Precision Pharmacotherapy: Pharmacogenetics and Nongenetic Regulators.Drug metabolism and disposition: the biological fate of chemicals · 2020
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. A Comprehensive Functional Assessment of Carboxylesterase 1 Nonsynonymous Polymorphisms.Drug metabolism and disposition: the biological fate of chemicals · 2017
    Article
  15. Article
  16. Article
  17. Article
  18. Revealing Higher Order Protein Structure Using Mass Spectrometry.Journal of the American Society for Mass Spectrometry · 2016
    Article
  19. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 2 countries.

Xinwen WangDepartment of Clinical Pharmacy, University of Michigan, Ann Arbor, MI, 48109-1065, USA.
Yan LiangDepartment of Clinical Pharmacy, University of Michigan, Ann Arbor, MI, 48109-1065, USA.
Li LiuDepartment of Clinical Pharmacy, University of Michigan, Ann Arbor, MI, 48109-1065, USA.
Jian ShiDepartment of Clinical Pharmacy, University of Michigan, Ann Arbor, MI, 48109-1065, USA.
Hao-Jie ZhuDepartment of Clinical Pharmacy, University of Michigan, Ann Arbor, MI, 48109-1065, USA.
China Pharmaceutical University · CNUniversity of Michigan–Ann Arbor · USMichigan Medicine · US

Funding

Michigan Institute for Clinical and Health Research (MCHR)UL1TR000433 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MASHOUR, GEORGE ALEXANDER · 2012 to 2016
$49.9M
CES1 variants as determinant of ACE inhibitor activation: a healthy volunteer studyR21AG048500 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ZHU, HAOJIE · 2015 to 2016
$426k
NCATS NIH HHS 2UL1TR000433NCATS NIH HHS UL1 TR000433NIA NIH HHS R21 AG048500NIA NIH HHS R21AG048500
6 · The paper itself

Abstract

rationaleLiquid Chromatography/Mass Spectrometry (LC/MS)-based proteomics for absolute protein quantification has been increasingly utilized in both basic and clinical research. There is a great need to overcome some major hurdles of current absolute protein quantification methods, such as significant inter-assay variability and the high cost associated with the preparation of purified stable-isotope-labeled peptide/protein standards.

methodsWe developed a novel targeted absolute protein quantification method, named TAQSI, utilizing full-length isotope-labeled protein internal standards generated from SILAC (stable isotope labeling by amino acid in cell culture) and unlabeled full-length protein calibrators. This approach was applied to absolute quantification of carboxylesterase 1 (CES1), the primary human hepatic hydrolase, in a large set of human liver samples. Absolute CES1 quantities were derived from the standard calibration curves established from unlabeled CES1 protein calibrators and the isotope-labeled CES1 internal standards obtained from SILAC HepG2 cells.

resultsThe TAQSI assay was found to be accurate, precise, reproducible, and cost-effective. Importantly, protein quantification was not affected by various protein extraction and digestion protocols, and measurement errors associated with nonsynonymous variants can be readily identified and avoided. Furthermore, the TAQSI approach significantly simplifies the procedure of identifying the best performance surrogate peptides.

conclusionsThe TAQSI assay can be widely used for targeted absolute protein quantification in various biomedical research and clinical practice settings.

Indexed as

Amino Acid SequenceCarboxylic Ester HydrolasesChromatography, LiquidHep G2 CellsHumansIsotope LabelingLiverPeptidesProteomicsTandem Mass SpectrometryCarboxylic Ester HydrolasesCES1 protein, humanPeptides

Identifiers

PMID26842578
PMCPMC6301059
OpenAlexW2339401492

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.